                            OLS Regression Results                            
==============================================================================
Dep. Variable:             complexity   R-squared:                       0.176
Model:                            OLS   Adj. R-squared:                  0.175
Method:                 Least Squares   F-statistic:                     122.1
Date:                Thu, 31 Dec 2020   Prob (F-statistic):           1.62e-94
Time:                        01:57:40   Log-Likelihood:                 1463.3
No. Observations:                2288   AIC:                            -2917.
Df Residuals:                    2283   BIC:                            -2888.
Df Model:                           4                                         
Covariance Type:            nonrobust                                         
==============================================================================
                 coef    std err          t      P>|t|      [0.025      0.975]
------------------------------------------------------------------------------
const      -2.466e-06   3.21e-06     -0.768      0.443   -8.77e-06    3.83e-06
n              0.0253      0.001     21.738      0.000       0.023       0.028
A             -0.0003      0.000     -2.730      0.006      -0.001   -9.14e-05
W           2.781e-05      0.000      0.234      0.815      -0.000       0.000
R             -0.0002      0.000     -1.358      0.175      -0.000    7.17e-05
S              0.0002      0.000      1.777      0.076   -2.19e-05       0.000
==============================================================================
Omnibus:                      367.097   Durbin-Watson:                   1.908
Prob(Omnibus):                  0.000   Jarque-Bera (JB):              595.103
Skew:                           1.074   Prob(JB):                    5.96e-130
Kurtosis:                       4.277   Cond. No.                     1.30e+16
==============================================================================
